401 total citations 4 papers, 261 citations indexed
About
Rahim Ghasemiyeh is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering.
According to data from OpenAlex, Rahim Ghasemiyeh has authored 4 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Rahim Ghasemiyeh's work include Energy Load and Power Forecasting (1 paper), Multi-Criteria Decision Making (1 paper) and Stock Market Forecasting Methods (1 paper). Rahim Ghasemiyeh is often cited by papers focused on Energy Load and Power Forecasting (1 paper), Multi-Criteria Decision Making (1 paper) and Stock Market Forecasting Methods (1 paper). Rahim Ghasemiyeh collaborates with scholars based in Iran and United Kingdom. Rahim Ghasemiyeh's co-authors include Feng Li, Reza Moghdani and Shib Sankar Sana and has published in prestigious journals such as Cybernetics & Systems and International Journal of Applied and Computational Mathematics.
Countries citing papers authored by Rahim Ghasemiyeh
Since
Specialization
Citations
This map shows the geographic impact of Rahim Ghasemiyeh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rahim Ghasemiyeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahim Ghasemiyeh more than expected).
Fields of papers citing papers by Rahim Ghasemiyeh
This network shows the impact of papers produced by Rahim Ghasemiyeh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rahim Ghasemiyeh. The network helps show where Rahim Ghasemiyeh may publish in the future.
Co-authorship network of co-authors of Rahim Ghasemiyeh
This figure shows the co-authorship network connecting the top 25 collaborators of Rahim Ghasemiyeh.
A scholar is included among the top collaborators of Rahim Ghasemiyeh based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Rahim Ghasemiyeh. Rahim Ghasemiyeh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.